Update app.py
Browse files
app.py
CHANGED
@@ -2,7 +2,7 @@
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import gradio as gr
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import os
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from langchain_openai import ChatOpenAI
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from langchain_core.prompts import
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from langchain_core.runnables import ConfigurableField
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def process_with_config(topic, temperature, mode, api_key):
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@@ -10,40 +10,43 @@ def process_with_config(topic, temperature, mode, api_key):
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# Set API key
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os.environ["OPENAI_API_KEY"] = api_key
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# Initialize
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model = ChatOpenAI(
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model="gpt-4o-mini",
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openai_api_key=api_key,
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temperature=0
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).configurable_fields(
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temperature=ConfigurableField(
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id="llm_temperature",
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name="LLM Temperature",
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description="Temperature for GPT-4o-mini response generation"
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)
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)
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# Create
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"
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alternatives={
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"
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"
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}
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)
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# Create chain
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chain =
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#
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mode_mapping = {"joke": "default", "poem": "poetry"}
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response = chain.with_config(
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configurable={
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"
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"
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}
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).invoke({"topic": topic})
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@@ -73,7 +76,7 @@ demo = gr.Interface(
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),
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gr.Radio(
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choices=["joke", "poem"],
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label="
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value="joke"
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),
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gr.Textbox(
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lines=5
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),
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title="🤖 GPT-4o-mini Configuration Demo",
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description="Generate content using GPT-4o-mini with configurable temperature and
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)
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if __name__ == "__main__":
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import gradio as gr
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import os
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from langchain_openai import ChatOpenAI
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_core.runnables import ConfigurableField
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def process_with_config(topic, temperature, mode, api_key):
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# Set API key
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os.environ["OPENAI_API_KEY"] = api_key
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# Initialize model
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model = ChatOpenAI(
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model="gpt-4o-mini",
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openai_api_key=api_key,
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temperature=0
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)
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# Create base prompt template
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base_prompt = ChatPromptTemplate.from_messages([
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("system", "You are a helpful assistant."),
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("user", "Tell me a joke about {topic}")
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])
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# Create poem prompt template
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poem_prompt = ChatPromptTemplate.from_messages([
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("system", "You are a helpful assistant."),
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("user", "Write a poem about {topic}")
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])
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# Create configurable prompt
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configurable_prompt = base_prompt.configurable_alternatives(
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ConfigurableField(id="style"),
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default_key="joke",
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alternatives={
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"joke": base_prompt,
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"poem": poem_prompt
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}
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)
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# Create chain
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chain = configurable_prompt | model
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# Execute with configuration
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response = chain.with_config(
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configurable={
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"style": mode,
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"temperature": float(temperature)
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}
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).invoke({"topic": topic})
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),
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gr.Radio(
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choices=["joke", "poem"],
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label="Style",
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value="joke"
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),
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gr.Textbox(
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lines=5
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),
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title="🤖 GPT-4o-mini Configuration Demo",
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description="Generate content using GPT-4o-mini with configurable temperature and style"
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)
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if __name__ == "__main__":
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